Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 40, Pages 60712-60732Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-20130-3
Keywords
Al-Salbat Road section; Natural triggered factors; Landsat8 and DTM; GIS; MCDM; DEM modeling
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Funding
- Deanship of Scientific Research at King Khalid University [RGP.1/372/42]
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In this research, the risk of rock instability in a road section in Saudi Arabia was evaluated using satellite images and geographic information systems. Field investigations and testing were conducted to characterize the geological structure and environmental components of the road section. Simulations, rankings, and calculations were used to map the vulnerability and risk of rock slope instability, providing a scientific basis for urban planning in the region of study.
In this applied research work, the risk of rock instability in the Aqabat Al-Sulbat road section located in the north-west area of Aseer Province in Saudi Arabia was evaluated, and the primary natural trigger factors of rock slope instability on further environmental components (rock slope stability, road network, and urban areas) were estimated using satellite images (Landsat8), digital terrain models, and geoprocessing in geographical information systems software (classification, overlapping algorithms and production thematic mapping in Arctoolbox). Additionally, field geotechnical investigations testing and over-coring drilling sampling allowed the characterization of the section of road in terms of geological structure and environmental components (geology, morphology, road network, lineaments, and hydrology). As a result, rock slope instability vulnerability mapping was simulated using satellite imagery and geographical information systems (GIS) and ranking natural trigger factors using the combined fuzzy Delphi analytical hierarchic process with the technique for order performance by similarity to ideal solution (TOPSIS) as multiple-criteria decision-making (MCDM) techniques. Additionally, many rock layer discontinuity stations were implemented to evaluate rock slope instabilities, and these were visualized using the Dips program and combined with modeling using 3DEC software to predict rock slope failure based on the distinct element method (DEM) at a small scale. Thereafter, safety factors were computed depending on these previous geospatial data. Finally, vulnerability index mapping was combined with rock instability risk mapping for the Aqabat Al-Sulbat road. Within the framework of sustainable development, these results can be used to inform the urban planning of the municipality of Aseer Province.
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